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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
- Workflow:OpenRLHF OpenRLHF DPO Training
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Apache Airflow DAG Authoring and Deployment
- Workflow:Ggml org Llama cpp Multimodal Inference
- Workflow:Intel Ipex llm RAG With LangChain
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
Principles
- Principle:Triton inference server Server Inference Request
- Principle:SeleniumHQ Selenium CDP Command Execution
- Principle:Microsoft Semantic kernel Process Framework Frontend
- Principle:SqueezeAILab ETS Reward Model Serving
- Principle:Open compass VLMEvalKit API Model Inference
- Principle:Nautechsystems Nautilus trader PyO3 Stub Generation
- Principle:Ucbepic Docetl Deterministic Code Operations
- Principle:Google deepmind Mujoco Visualization Initialization
- Principle:AUTOMATIC1111 Stable diffusion webui Startup Performance Profiling
- Principle:Triton inference server Server QA Trace Analysis
Implementations
- Implementation:Mit han lab Llm awq Model Worker VILA
- Implementation:Datahub project Datahub DatahubEventEmitter Emit
- Implementation:ArroyoSystems Arroyo Pipeline Graph
- Implementation:Recommenders team Recommenders SARPlus
- Implementation:Online ml River Multiclass OneVsRest
- Implementation:Huggingface Trl Get Peft Config Reward
- Implementation:Mlc ai Mlc llm Jit
- Implementation:Mage ai Mage ai GitHub Actions GCP Cloud Run Deploy
- Implementation:Kserve Kserve Alibi Helper
- Implementation:Apache Paimon SstFileReader
Heuristics
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Roboflow Rf detr EMA Best Checkpoint Strategy
- Heuristic:Rapidsai Cuml Quantile Split Differences
- Heuristic:ArroyoSystems Arroyo Parallelism Configuration
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Getgauge Taiko Implicit Wait Tuning
Environments
- Environment:VainF Torch Pruning LLM Pruning Dependencies
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Apache Dolphinscheduler ZooKeeper Registry
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment